http://localhost:8080/xmlui/handle/123456789/333 2026-06-23T06:33:40Z 2026-06-23T06:33:40Z Gupta, Preeti Kumar, Badal Wankhade, Prateek Choudhary, Praveen Singh, Abhijeet http://localhost:8080/xmlui/handle/123456789/3468 2022-10-03T06:14:30Z 2016-10-30T00:00:00Z

Title: Azimuth-Altitude Dual Axis Solar Tracker Authors: Gupta, Preeti; Kumar, Badal; Wankhade, Prateek; Choudhary, Praveen; Singh, Abhijeet Abstract: People in underprivileged countries could benefit from the use of a solar distributed generation system. To provide an efficient solar distributed generation system, a scaled down dual-axis solar tracker was designed, built and tested.

2016-10-30T00:00:00Z Kumar, Badal Bhongade, Sandeep http://localhost:8080/xmlui/handle/123456789/3461 2022-10-03T04:46:13Z 2016-07-02T00:00:00Z

Title: Load Disturbance Rejection Based PID Controller for Frequency Regulation of a Microgrid Authors: Kumar, Badal; Bhongade, Sandeep Abstract: This paper deals with an autonomous isolated microgrid comprising both controllable & uncontrollable sources. Like solar, wind, diesel generator (DG), aqua electrolyzer (AE), fuel cell (FC), battery energy storage system (BESS), and fly wheel (FW) are considered. Solar, wind, DG and FC are power generating source & BESS, FW, AE as energy storage element. The generated hydrogen by an AE is used as fuel for a Fe. The power system frequency deviates for the sudden change in load demand and the real power generation. The output power of DG, FC, BESS, FW and power absorbed by AE is regulated by using controller such that frequency of the system is controlled. Controller used is proportional plus integral plus derivative (PlD). Load Disturbance Rejection (LDR) is used for tuning of proposed hybrid system's controller gains. This uses the chien-hornes-resnick (CRR) setting with 20% overshoot. The system response of LDR method is compared with classical method and the result of LDR based controller gives better response then the classical method.

2016-07-02T00:00:00Z Munje, Ravindra Patre, B.M http://localhost:8080/xmlui/handle/123456789/2122 2019-06-25T08:05:30Z 2016-09-11T00:00:00Z

Title: Spatial Power Control of Singularly Perturbed Large Nuclear Reactor ? Authors: Munje, Ravindra; Patre, B.M Abstract: Controlling of large nuclear reactors is a challenging task due to simultaneous presence of both slow and fast varying dynamic modes. This paper presents the design of linear quadratic regulator for spatial power control of a large Advanced Heavy Water Reactor (AHWR). The AHWR system is represented by 90 rst order nonlinear di erential equations with 5 inputs and 18 outputs. After linearization, the original ill-conditioned system of AHWR is represented into standard singularly perturbed two-time-scale form and decomposed into two comparatively lower order subsystems, namely, `slow' and `fast' subsystems of orders 73 and 17 respectively. Two individual optimal controllers are developed for both the subsystems and then a composite controller is obtained for original system. This composite controller is applied to the vectorized nonlinear model of AHWR. From dynamic simulation in representative transients, the suggested controller is found to be superior to other methods.

2016-09-11T00:00:00Z Munje, Ravindra Patre, Balasaheb Tiwari, Akhilanand P http://localhost:8080/xmlui/handle/123456789/2120 2019-06-25T06:47:56Z 2016-01-01T00:00:00Z

Title: Discrete-Time Sliding Mode Spatial Control of Advanced Heavy Water Reactor Authors: Munje, Ravindra; Patre, Balasaheb; Tiwari, Akhilanand P Abstract: This brief presents the design of a discrete-time sliding mode control (DSMC) for spatial power stabilization of advanced heavy water reactor (AHWR). Mathematical model of AHWR is represented by 90 first-order nonlinear differential equations with 18 outputs and five inputs. The linear model is obtained by linearizing nonlinear equations over the rated power. This linear model is found to be highly ill conditioned and is possessing three-time-scale property. Initially, the linear model is transformed into block diagonal form to separate slow, fast 1, and fast 2 subsystems and then DSMC is designed using slow subsystem alone since fast 1 and fast 2 subsystems are stable. The proposed DSMC strategy is designed using the constant plus proportional rate reaching law with matched disturbance. Finally, the nonlinear multivariable model of AHWR is simulated with the designed controller and the results are generated under different transients. The efficacy of the proposed DSMC is demonstrated with the comparison of prevalent controllers in the literature and the performance is evaluated under the same transient levels.

2016-01-01T00:00:00Z